research Diagnosis of Polycystic Ovary Syndrome Using XGBoost Algorithm
XGBoost can effectively diagnose PCOS with 87% accuracy.
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research DNN-DTIs: Improved Drug-Target Interactions Prediction Using XGBoost Feature Selection and Deep Neural Network
The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.
research Application of Big Data Analytics in Minoxidil Drug Development: A Data-Driven Model for Predicting Efficacy and Side Effect Risks
The model predicts minoxidil's effectiveness and side effects better than traditional methods.
research Prediction of Therapeutic Outcomes of Female Pattern Hair Loss Patients Based on Clinical Features with Application of Artificial Intelligence
Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
research AI04: A Novel Machine Learning Software Application for Prognosticating Cutaneous Malignant Melanoma Based on Data from 78,351 Patients from the Surveillance, Epidemiology, and End Results (SEER) Database
The new AI software predicts melanoma outcomes more accurately than traditional methods.
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